基于物联网的可穿戴智能设备用于COVID-19患者监测

Sivasankar G., Aarthy Prem Anand, Susela Sruthi K.
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引用次数: 3

摘要

在COVID-19大流行期间,监测和管理感染患者极其困难。这款物联网可穿戴式监控设备是为了测量新冠肺炎的各项指标而开发的。病人的GPS数据被用来通知医疗当局他们的感染状况。将可穿戴传感器贴在身体上,连接到物联网云中的边缘节点,在那里处理和分析数据,以监测健康状况。该系统由温度传感器、GPS、SpO2传感器、红外传感器和加速度计组成。这个小工具使用了Arduino UNO处理器。使用温度传感器获得患者的体温。使用GPS传感器跟踪受感染患者的位置。人类的运动是通过一个加速度计来检测的。SpO2传感器测量血氧饱和度。心率是用脉搏传感器检测的。有关预防措施、警告和操作的信息存储在云数据库中。使用这种方法测量COVID-19症状读数以进行监测和分析。
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Internet of Things based Wearable Smart Gadget for COVID-19 Patients Monitoring
It is extremely difficult to monitor and manage infected patients during the COVID-19 pandemic. This IoT wearable monitoring gadget is developed to measure the indicators of COVID-19. Patients' GPS data is used to notify medical authorities of their infection status. A wearable sensor is affixed to the body and connected to an edge node in the IoT cloud where the data is processed and analyzed in order to monitor health. A temperature sensor, GPS, SpO2 sensor, IR sensor, and accelerometer make up the system. The Arduino UNO processor is used in this gadget. The patient's body temperature is obtained using the temperature sensor. The location of the infected patient is tracked using a GPS sensor. Human movement is detected using an accelerometer. The SpO2 sensor measures the blood oxygen saturation level. The heart rate is detected using a pulse sensor. Information about preventive measures, warnings, and actions is stored in a cloud database. COVID-19 symptom readings are measured using this approach for monitoring and analysis.
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